Nothing
RprobitB: Bayes Estimation of Latent Class Mixed Multinomial Probit Models
Fitting latent class mixed multinomial probit (LCMMNP) models to simulated or empirical choice data via Bayesian estimation. The number of latent classes can be updated within the algorithm on a weight-based strategy. For a reference on the method see Oelschlaeger and Bauer (2021) <https://trid.trb.org/view/1759753>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Lennart Oelschläger [aut, cre], Dietmar Bauer [aut], Sebastian Büscher [ctb], Manuel Batram [ctb] |
| Maintainer | Lennart Oelschläger <lennart.oelschlaeger@uni-bielefeld.de> |
| License | GPL-3 |
| Version | 1.0.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the RprobitB package in your browser
Any scripts or data that you put into this service are public.
